Sensitivities of Amazonian clouds to aerosols and updraft speed

Abstract. The effects of aerosol particles and updraft speed on warm-phase cloud microphysical properties are studied in the Amazon region as part of the ACRIDICON-CHUVA experiment. Here we expand the sensitivity analysis usually found in the literature by concomitantly considering cloud evolution, putting the sensitivity quantifications into perspective in relation to in-cloud processing, and by considering the effects on droplet size distribution (DSD) shape. Our in situ aircraft measurements over the Amazon Basin cover a wide range of particle concentration and thermodynamic conditions, from the pristine regions over coastal and forested areas to the southern Amazon, which is highly polluted from biomass burning. The quantitative results show that particle concentration is the primary driver for the vertical profiles of effective diameter and droplet concentration in the warm phase of Amazonian convective clouds, while updraft speeds have a modulating role in the latter and in total condensed water. The cloud microphysical properties were found to be highly variable with altitude above cloud base, which we used as a proxy for cloud evolution since it is a measure of the time droplets that were subject to cloud processing. We show that DSD shape is crucial in understanding cloud sensitivities. The aerosol effect on DSD shape was found to vary with altitude, which can help models to better constrain the indirect aerosol effect on climate.

[1]  H. Wernli,et al.  Aerosol- and updraft-limited regimes of cloud droplet formation: influence of particle number, size and hygroscopicity on the activation of cloud condensation nuclei (CCN) , 2009 .

[2]  J. Bühl,et al.  Strong aerosol-cloud interaction in altocumulus during updraft periods: lidar observations over central Europe , 2015 .

[3]  K. D. Beheng,et al.  Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization , 2015 .

[4]  Chris Kidd,et al.  Comparison of Precipitation Derived from the ECMWF Operational Forecast Model and Satellite Precipitation Datasets , 2013 .

[5]  S. Martin,et al.  Sources and properties of Amazonian aerosol particles , 2010 .

[6]  S. Twomey Pollution and the Planetary Albedo , 1974 .

[7]  Jessica R. Meyer,et al.  Arctic low-level boundary layer clouds: in situ measurements and simulations of mono- and bimodal supercooled droplet size distributions at the top layer of liquid phase clouds , 2015 .

[8]  F. Bréon,et al.  Aerosol Effect on Cloud Droplet Size Monitored from Satellite , 2002, Science.

[9]  J. Tota,et al.  The convective boundary layer over pasture and forest in Amazonia , 2004 .

[10]  Zhanqing Li,et al.  Satellite retrieval of cloud condensation nuclei concentrations by using clouds as CCN chambers , 2016, Proceedings of the National Academy of Sciences.

[11]  J. Comstock,et al.  Dominant role by vertical wind shear in regulating aerosol effects on deep convective clouds , 2009 .

[12]  J. Comstock,et al.  Impacts of the Manaus pollution plume on the microphysical properties of Amazonian warm-phase clouds in the wet season , 2016 .

[13]  Johannes Quaas,et al.  Aerosol indirect effects in POLDER satellite data and the Laboratoire de Météorologie Dynamique–Zoom (LMDZ) general circulation model , 2004 .

[14]  A. Nenes,et al.  A Continuous-Flow Streamwise Thermal-Gradient CCN Chamber for Atmospheric Measurements , 2005 .

[15]  J. Kay,et al.  Timescale analysis of aerosol sensitivity during homogeneous freezing and implications for upper tropospheric water vapor budgets , 2008 .

[16]  Klaus Pfeilsticker,et al.  ACRIDICON–CHUVA Campaign: Studying Tropical Deep Convective Clouds and Precipitation over Amazonia Using the New German Research Aircraft HALO , 2016 .

[17]  Maria Cristina Facchini,et al.  The effect of physical and chemical aerosol properties on warm cloud droplet activation , 2005 .

[18]  Joshua A. Gordon,et al.  Water droplet calibration of the Cloud Droplet Probe (CDP) and in-flight performance in liquid, ice and mixed-phase clouds during ARCPAC , 2010 .

[19]  J. Barnard,et al.  Observations of the first aerosol indirect effect in shallow cumuli , 2011 .

[20]  D. Rosenfeld,et al.  Resolving both entrainment-mixing and number of activated CCN in deep convective clouds , 2011 .

[21]  Bryan N. Lawrence,et al.  Regional and seasonal variations of the Twomey indirect effect as observed by the ATSR‐2 satellite instrument , 2008 .

[22]  Justin W. Monroe,et al.  RACORO Extended-Term Aircraft Observations of Boundary Layer Clouds , 2012 .

[23]  P. Crutzen,et al.  Human‐activity‐enhanced formation of organic aerosols by biogenic hydrocarbon oxidation , 2000 .

[24]  Microphysics of Maritime Tropical Convective Updrafts at Temperatures from -20° to -60° , 2009 .

[25]  A. Russell,et al.  Adjoint sensitivity of global cloud droplet number to aerosol and dynamical parameters , 2012 .

[26]  M. Andreae,et al.  Smoking Rain Clouds over the Amazon , 2004, Science.

[27]  Alexei Korolev,et al.  Reconstruction of the Sizes of Spherical Particles from Their Shadow Images. Part I: Theoretical Considerations , 2007 .

[28]  J. Comstock,et al.  Amazon boundary layer aerosol concentration sustained by vertical transport during rainfall , 2016, Nature.

[29]  Manfred Wendisch,et al.  Introduction: Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) , 2015 .

[30]  Ulrich Pöschl,et al.  Calibration and measurement uncertainties of a continuous-flow cloud condensation nuclei counter (DMT-CCNC): CCN activation of ammonium sulfate and sodium chloride aerosol particles in theory and experiment , 2007 .

[31]  Jerry R. Meyer,et al.  Microphysical properties of synoptic-scale polar stratospheric clouds: in situ measurements of unexpectedly large HNO3-containing particles in the Arctic vortex , 2014 .

[32]  J. Lelieveld,et al.  Impact of Manaus City on the Amazon Green Ocean atmosphere: ozone production, precursor sensitivity and aerosol load , 2010 .

[33]  P. Pilewskie,et al.  Twomey effect observed from collocated microphysical and remote sensing measurements over shallow cumulus , 2014 .

[34]  A. Nenes,et al.  Role of updraft velocity in temporal variability of global cloud hydrometeor number , 2016, Proceedings of the National Academy of Sciences.

[35]  M. Andreae,et al.  Comprehensive mapping and characteristic regimes of aerosol effects on the formation and evolution of pyro-convective clouds , 2015 .

[36]  G. Feingold Modeling of the first indirect effect: Analysis of measurement requirements , 2003 .

[37]  John H. Seinfeld,et al.  The formation, properties and impact of secondary organic aerosol: current and emerging issues , 2009 .

[38]  S. Twomey,et al.  The nuclei of natural cloud formation part II: The supersaturation in natural clouds and the variation of cloud droplet concentration , 1959 .

[39]  A. Korolev,et al.  Theoretical study of mixing in liquid clouds – Part 1: Classical concepts , 2015 .

[40]  Richard J. Blakeslee,et al.  THE CHUVA PROJECT How Does Convection Vary across Brazil , 2014 .

[41]  P. Daum,et al.  Anthropogenic aerosols: Indirect warming effect from dispersion forcing , 2002, Nature.

[42]  Yiran Peng,et al.  Sensitivity study of cloud parameterizations with relative dispersion in CAM5.1: impacts on aerosol indirect effects , 2017 .

[43]  D. W. Johnson,et al.  The Measurement and Parameterization of Effective Radius of Droplets in Warm Stratocumulus Clouds , 1994 .

[44]  M. Lebsock,et al.  On the precipitation susceptibility of clouds to aerosol perturbations , 2009 .

[45]  R. S. Maheskumar,et al.  Aerosol effect on droplet spectral dispersion in warm continental cumuli , 2012 .

[46]  C. Bretherton,et al.  Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system , 2016, Proceedings of the National Academy of Sciences.

[47]  R. Bruintjes,et al.  The relative dispersion of cloud droplets: its robustness with respect to key cloud properties , 2015 .

[48]  M. Andreae,et al.  Physical and chemical properties of aerosols in the wet and dry seasons in Rondônia, Amazonia , 2002 .

[49]  R. Baumann,et al.  Calibration of 3-D wind measurements on a single-engine research aircraft , 2015 .

[50]  U. Pöschl,et al.  Rainforest Aerosols as Biogenic Nuclei of Clouds and Precipitation in the Amazon , 2010, Science.

[51]  D. Rosenfeld,et al.  Linear relation between convective cloud drop number concentration and depth for rain initiation , 2012 .